Assess AI training and inference workloads and translate business and technical requirements into infrastructure architecture, system specifications and capacity plans. Evaluate heterogeneous computing platforms, including Intel and AMD CPUs, NVIDIA GPUs, and accelerators such as Ascend NPUs and Google TPUs, to determine workload suitability and identify potential performance bottlenecks. Develop plans for…
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📌 AI Infrastructure architect (Winnipeg)
🏢 Titan power
📍 Winnipeg
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